@InProceedings{barbieri-ballesteros-saggion:2017:EACLshort,
  author    = {Barbieri, Francesco  and  Ballesteros, Miguel  and  Saggion, Horacio},
  title     = {Are Emojis Predictable?},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {105--111},
  abstract  = {Emojis are ideograms which are naturally combined with plain text to visually
	complement or condense the meaning of a message. Despite being widely used in
	social media, their underlying semantics have received little attention from a
	Natural Language Processing standpoint. 
	In this paper, we investigate the relation between words and emojis, studying
	the novel task of predicting which emojis are evoked by text-based tweet
	messages.  We train several models based on Long Short-Term Memory networks
	(LSTMs) in this task.                                                 
	Our experimental results show that our neural model outperforms a baseline as
	well as humans solving the same task, suggesting that computational models are
	able to better capture the underlying semantics of emojis.},
  url       = {http://www.aclweb.org/anthology/E17-2017}
}